By Uri Wilensky
The creation of frequent quickly computing has enabled us to paintings on extra advanced difficulties and to construct and learn extra advanced versions. This publication offers an advent to 1 of the first methodologies for study during this new box of wisdom. Agent-based modeling (ABM) deals a brand new means of doing technology: by way of carrying out computer-based experiments. ABM is acceptable to advanced platforms embedded in ordinary, social, and engineered contexts, throughout domain names that variety from engineering to ecology. An creation to Agent-Based Modeling bargains a finished description of the middle recommendations, tools, and functions of ABM. Its hands-on procedure -- with 1000's of examples and workouts utilizing NetLogo -- allows readers to start developing versions instantly, despite event or discipline.
The publication first describes the character and motive of agent-based modeling, then provides the technique for designing and development ABMs, and eventually discusses find out how to make the most of ABMs to reply to advanced questions. good points in every one bankruptcy comprise step by step publications to constructing versions more often than not textual content; textual content containers with more information and ideas; end-of-chapter explorations; and references and lists of correct analyzing. there's additionally an accompanying web site with all of the types and code.
Read or Download An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo PDF
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Extra info for An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo
1 presents a system composed of a few identical elements following one rule. Each element is a small arrow. We imagine a clock ticking and at each tick of the clock the arrows follow their rule. We initialize the system so that each individual arrow starts on a circle (of radius 20 units). We start them all facing clockwise on the circle. Now, we give them one movement behavior (or rule). 35 units then turn right one degree. As the clock ticks, they continue to move and turn, move and turn, moving clockwise along the circle.
The agent-based model of an ant colony provides us with a “glass box” (as opposed to a “black box”), through which we can examine and observe the operations of the ants and discuss and test whether or not hypothesized mechanisms are valid. More generally, the glass box of agent-based models provides us with an unambiguous representation of the problem that we are examining, and thus is useful not only within the scientific community but also in other realms such as policy analysis. Models can sometimes present new phenomena that are not necessarily about some real-world phenomenon, but are thought experiments on possible computations.
4 We will further explore models of flocking in chapter 7. ). Most 3. html. 4. For a NetLogo model of birds flocking, see Wilensky (1998). 176 on Tue, 19 Jan 2016 00:02:31 UTC All use subject to JSTOR Terms and Conditions Why Agent-Based Modeling? 13 people fail to distinguish between these levels, instead “slipping” between levels to attribute the properties of one level to the other. Consider a V- flock, which appears to be stable and to have a consistent shape. The appearance of stability often leads people to conclude that the individual elements of the flock (the birds) are stable and have a consistent place in the flock.